MCDMDecision-makingRankingMath steps
Slack-Based Measure Data Envelopment Analysis
DEA-SBM (Slack-Based Measure Data Envelopment Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Tone, K. in 2001. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
Intuition
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How it works
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When to use it
SBM is preferred over CCR/BCC when slacks are important; it is units-invariant.
Strengths & limitations
Strengths
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research
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Cite this page
ScholarGate. (2026, June 2). DEA-SBM. ScholarGate. https://scholargate.app/decision-making/dea-sbm